Data Commitments

1. Data Protection Framework

Scope

Governs processing of enterprise data
Applies to AI system implementation
Covers model training and inference
Includes safety monitoring

Definitions

Enterprise Data: Customer-provided information
AI Processing: Model training and usage
Security Measures: Protection protocols
Service Output: AI system results

2. Data Processing Terms

Processing Limitations

Authorized business purposes only
No unauthorized model training
No data sharing/selling
No cross-context usage

Security Requirements

Encryption standards
Access controls
Monitoring systems
Incident response
Regular audits

3. Enterprise Rights and Controls

Customer Controls

Data access management
Processing restrictions
Output monitoring
Usage tracking
Deletion rights

Security Measures

Annual security assessments
Regular compliance reviews
Incident notifications
Audit capabilities
Access logs

4. Data Protection Commitments

Provider Obligations

Maintain confidentiality
Implement safeguards
Monitor compliance
Report incidents
Support audits

Processing Standards

Documented procedures
Risk assessments
Security controls
Access limitations
Training requirements

5. Compliance Framework

Legal Requirements

Data protection laws
Industry standards
Security regulations
Privacy requirements
Export controls

Documentation

Processing records
Security measures
Audit trails
Incident reports
Compliance records

6. International Data Transfers

Transfer Mechanisms

Standard contractual clauses
Transfer impact assessments
Security measures
Compliance monitoring
Risk mitigation

7. Incident Management

Response Protocol

Immediate notification
Investigation support
Remediation steps
Documentation
Follow-up measures

8. Term and Termination

Data Handling

Return procedures
Deletion requirements
Transition support
Verification process
Compliance certification

[Additional sections on Sub-processors, Technical Measures, and Specific Compliance Requirements available upon request]

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